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From: bharathi@acsu.buffalo.edu (Chandra Shekara Bharathi)
Newsgroups: comp.databases
Subject: Database compression, Fast access
Message-ID: <73345@eerie.acsu.Buffalo.EDU>
Date: 26 Apr 91 21:45:35 GMT
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Organization: State University of New York at Buffalo / CEDAR Research Group
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   Hi!


        Our group is trying to automate reading of addresses on mail pieces
  for the United States Postal Service.  It is envisaged that such 'reading'
  and identifying(or generating, as the case may be) the appropriate 9-digit
  Zip code [i.e. 5 digits plus the unique 4 digit add-on ] using all the
  fields specified on the address, namely the State, city, 5 digit zip, Street
  name, apt., etc. would be at the rate of atleast 12 mail pieces per sec.

        For this, we have large databases that link up all the above fields.
  It thus becomes evident that database searching has to be done at a
  very fast rate.  We already have a pretty neat thing running.  However, we
  would like to improve the speed further.

        If anyone has come across papers/references on such database issues
  involving large (compressed) databases and fast access mechanisms, i'd very
  much like to hear from fellow netters.

        Please note that everything is on-line and disk accesses are not
  feasible.

        Please email replies directly to  bharathi@cs.buffalo.edu

        Thanks in advance.

  Chandra

-------------------------------------------------------------------------------
Chandra Shekara Bharathi                   |
                                           | internet: bharathi@cs.buffalo.edu
Center of Excellence for Document Analysis | bitnet  : bharathi@sunybcs.BITNET
      and Recognition [CEDAR]              |
Dept of Computer Science                   |
State Univ of New York at Buffalo          |
Buffalo, NY 14260                          |
(716) 636 2448   uucp: ..!{ames,boulder,decvax,rutgers}!sunybcs!bharathi

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